LI-TIFROM is a sparsity-based Blind Source Separation method. It is based on a time-frequency (TF...
| Date | Contributor | Description | Rating |
|---|---|---|---|
| 19 Jun 2009 | MATLAB Central Team |
LI-TIFROM is a sparsity-based Blind Source Separation method. It is based on a time-frequency (TF) analysis: 1) it first finds single-source TF zones, i.e. a set of adjacent TF windows, where a single source is active. 2) Then, in each of the above zones, it estimates a column of the mixing matrix. 3) When all the columns of the mixing matrix have been estimated, the last step consists in recovering the sources. The LI-TIFROM package is written in MATLAB, needs the MATLAB Signal Processing Toolbox in order to run and has been tested on MATLAB 6.0, 7.0 and 7.5. |
| Tag | Applied By | Date/Time |
|---|---|---|
| signal processing | MATLAB Central Team | 19 Jun 2009 at 10:22am |
NOTICE: Any content you submit to MATLAB Central, including personal information, is not subject to the protections which may be afforded information collected under other sections of The MathWorks, Inc. Web site. You are entirely responsible for all content that you upload, post, e-mail, transmit or otherwise make available via MATLAB Central. The MathWorks does not control the content posted by visitors to MATLAB Central and, does not guarantee the accuracy, integrity, or quality of such content. Under no circumstances will The MathWorks be liable in any way for any content not authored by The MathWorks, or any loss or damage of any kind incurred as a result of the use of any content posted, e-mailed, transmitted or otherwise made available via MATLAB Central. Read the complete Disclaimer prior to use.
Contact us at files@mathworks.com